Imagine you have a TV and a phone. Sometimes, the ads on your phone are silly and not interesting, right? This invention is like a smart detective. It listens to what's on your TV and then shows you ads on your phone that are about the same thing! But don't worry, it's like a secret agent that keeps your information safe in a special box, so no one can peek at your secrets!
Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device enhances targeted advertising by leveraging data from networked devices within a secure environment. This patent addresses the problem of irrelevant advertising by gathering data from a television associated with a security sandbox on a mobile device. The key technical approach involves generating fingerprint data (audio or video) from the television and matching it with targeted data based on a relevancy factor. This ensures that users receive advertisements and content that are directly related to what they are currently viewing, enhancing user engagement and satisfaction. The system operates within a security sandbox, providing an added layer of protection for user privacy.
The business value lies in the increased effectiveness of targeted advertising, leading to higher click-through rates and conversion rates for advertisers. This approach also fosters greater user trust and willingness to engage with advertisements, as the system prioritizes privacy. The market opportunity is significant, with the potential to transform the way advertisements are delivered across various platforms. By leveraging data gathered from networked devices in a secure and privacy-conscious manner, this innovation is paving the way for a more personalized and engaging advertising experience.
This technology is set to redefine how content is targeted and delivered to users, making it a crucial development in the world of digital advertising. The system's ability to adapt to user preferences over time makes it an invaluable tool for content providers seeking to maintain user engagement. The use of fingerprint data and relevancy factors ensures that the content delivered remains relevant and interesting, fostering a more positive user experience. This approach is not limited to advertisements; it can also be applied to other forms of content, such as news articles, videos, and music. The potential applications are vast, making this technology a significant advancement in the field of information delivery.
Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device is a technology designed to improve the relevance of advertising you see on your mobile devices. It addresses the problem of irrelevant and annoying ads by using information about what you're watching on your TV to show you more targeted and useful ads.
Instead of relying on broad demographic data or tracking your browsing history, this technology uses a more direct approach. It listens to or watches what's playing on your TV (with your permission, of course) and identifies the content. Then, it uses this information to select ads that are related to what you're watching. For example, if you're watching a cooking show, you might see ads for kitchen appliances or food products. The magic happens within a secure 'sandbox' on your device, ensuring your personal data remains protected.
This matters because it can lead to a better advertising experience for you. You're more likely to see ads for products or services that you're actually interested in, which can save you time and frustration. For businesses, it means more effective advertising campaigns and better returns on their ad spending. It also provides a competitive edge by offering a more personalized and privacy-conscious approach to advertising. This technology can be adopted across various industries, including media, entertainment, and e-commerce.
In the future, this approach could be expanded to other devices and content platforms, creating a more seamless and relevant advertising experience across all your devices. As privacy concerns continue to grow, technologies like this, which prioritize user privacy, will become increasingly important.
A method, apparatus, and system related to relevancy improvement through targeting of information based on data gathered from a television associated with a security sandbox of a mobile device are disclosed. In one aspect, a system may include a television to generate a fingerprint data. The fingerprint data is an audio fingerprint data and/or a video fingerprint data. A relevancy-matching server matches primary data generated from the fingerprint data with targeted data based on a relevancy factor, and searches a storage for at least one of the targeted data, a reference to the targeted data, and a metadata of the targeted data. The primary data is a content identification data and/or a content identification history. A mobile device capable of being associated with the television processes an embedded object, constrains an executable environment in a security sandbox, and executes a sandboxed application in the executable environment.
Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device presents a novel approach to targeted advertising by leveraging data from networked devices within a secure sandbox. The technical architecture consists of several key components: a television to generate fingerprint data, a relevancy-matching server to match primary data with targeted data, and a mobile device capable of processing embedded objects within a security sandbox. The fingerprint data, which can be audio or video, is generated using signal processing techniques to extract unique features from the content being displayed on the television. These features are then used to create a fingerprint that can be matched against a database of known content.
The relevancy-matching server employs sophisticated algorithms to identify the most relevant targeted data based on the fingerprint data. This process may involve analyzing content identification data, content identification history, and metadata associated with the targeted data. The security sandbox plays a crucial role in protecting user privacy. By constraining the executable environment, the sandbox prevents malicious code from accessing sensitive data on the mobile device. This is achieved through virtualization and process isolation techniques.
The implementation details involve complex signal processing algorithms for fingerprint generation, machine learning models for relevancy matching, and secure coding practices for sandbox implementation. The integration patterns involve seamless communication between the television, the relevancy-matching server, and the mobile device. Performance characteristics are optimized through efficient data processing and caching mechanisms. Code-level implications include the use of secure APIs and data encryption techniques to protect user privacy. This technology requires a deep understanding of signal processing, machine learning, and security engineering.
Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device offers a significant market opportunity within the digital advertising industry. The market opportunity size is substantial, given the increasing demand for personalized and relevant advertising. The competitive advantages stem from the technology's ability to gather data from networked devices while maintaining user privacy through a security sandbox. This approach addresses a key concern among users about the privacy of their data, leading to increased trust and engagement.
The revenue potential is significant, as advertisers are willing to pay a premium for targeted advertising that delivers higher click-through rates and conversion rates. The business models include licensing the technology to advertising agencies and content providers, as well as offering a subscription-based service for targeted advertising. The strategic positioning involves establishing partnerships with television manufacturers, mobile device manufacturers, and advertising agencies.
ROI projections indicate a high return on investment, given the increased effectiveness of targeted advertising and the potential for recurring revenue streams. The key performance indicators (KPIs) include click-through rates, conversion rates, user engagement, and customer satisfaction. The market trends favor this technology, as users are increasingly demanding personalized and relevant content, while also prioritizing data privacy. This innovation is poised to disrupt the digital advertising industry by providing a more effective and privacy-conscious approach to targeted advertising.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A system comprising: a television to generate a fingerprint data, wherein the fingerprint data is any one of an audio fingerprint data and a video fingerprint data; a relevancy-matching server to: match primary data generated from the fingerprint data with targeted data based on a relevancy factor, and search a storage for at least one of the targeted data, a reference to the targeted data, and a metadata of the targeted data, wherein the primary data is any one of a content identification data and a content identification history; and a mobile device associated with the television to: process an embedded object within a sandboxed application, constrain an executable environment in a security sandbox, and execute the embedded object through the sandboxed application in the executable environment, the execution of the embedded object causing rendering of the targeted data therethrough, wherein the television executes a sandbox-reachable service thereon, and is configured to automatically announce the sandbox-reachable service to a discovery module executing at least one of: on a pairing server external to the mobile device and as part of an extension of the security sandbox executing on the mobile device, wherein the discovery module identifies the sandbox-reachable service offered through the television based on receiving the automatic announcement to enable the sandboxed application of the mobile device reach the sandbox-reachable service by communicating an identification data of the television via the sandbox-reachable service when a shared computer network is determined to be commonly associated with the mobile device and the television, wherein the sandboxed application reaching the sandbox-reachable service establishes bidirectional communication between the mobile device and the television, and, thereby, association between the mobile device and the television, and wherein the primary data is available across the sandbox-reachable service and the sandboxed application based on the established bidirectional communication between the mobile device and the television.
A system delivers targeted data to a mobile device based on TV content. The TV generates audio/video fingerprints of displayed content. A server matches these fingerprints (content identification or viewing history) with targeted data using a relevancy factor. The server searches for the targeted data (or references/metadata) in storage. A mobile app, running in a secure sandbox, processes embedded objects (scripts, images, etc.). When the app executes such an object, it renders the targeted data. The TV advertises a sandbox-reachable service to a pairing server or sandbox extension. The mobile app discovers this service, and when they are on the same network, it sends TV identification data. This creates a two-way communication channel to share content identification data between TV and phone.
2. The system of claim 1 : wherein the relevancy-matching server matches the targeted data with the primary data based on searching the storage for at least one of a matching item and a related item based on the relevancy factor comprising at least one of a category of the primary data, a behavioral history of a user, a category of the sandboxed application, and other information associated with the user.
The system described previously matches targeted data to TV content by considering factors like content category, user viewing history, app category, and other user information when searching for matching or related items in storage. The relevancy factor used for this matching process utilizes this information to determine the appropriate targeted data. The search results are based on finding items that are relevant to the identified TV content, and related to the user's interests and context within the sandboxed application.
3. The system of claim 1 : wherein the identification data of the television comprises at least one of a global unique identifier (GUID), an alphanumeric name, a hardware address associated with the television, a public address associated with an automatic content identification service of the television, and a private address associated with the automatic content identification service of the television when the shared computer network is determined to be commonly associated with the mobile device and the television.
The TV identification data shared with the mobile device, as described in the initial system, includes a global unique identifier (GUID), an alphanumeric name, a hardware (MAC) address, a public address for the TV's automatic content identification (ACR) service, or a private address for the ACR service, especially when both devices are on the same network. This allows the mobile device to uniquely identify the specific television and connect to its services.
4. The system of claim 1 : wherein the embedded object comprises at least one of a script, an image, a player, an iframe, and other external media included in the sandboxed application.
In the initial system description, the embedded object within the sandboxed application can be a script, an image, a media player, an iframe, or any other external media included in the application. This object is processed to trigger the rendering of the targeted data.
5. The system of claim 1 : wherein the relevancy-matching server causes the rendering of the targeted data to a user through the sandboxed application of the mobile device.
As part of the initial system, the relevancy-matching server initiates the rendering of the targeted data to the user through the sandboxed application on their mobile device. This means that once the targeted data is identified, the server sends instructions or the data itself to the mobile app to display the content to the user.
6. The system of claim 1 : wherein the mobile device is determined to be associated with a user based on a unique identifier that is unlikely to change.
As part of the system, a unique and persistent identifier is used to associate the mobile device with a particular user. This ensures that the targeted data delivered is relevant to that specific user's preferences and viewing history, enabling personalized recommendations.
7. The system of claim 1 : wherein the primary data comprises at least one of a number of descriptive metadata associated with the content identification data, a monitored event, a geolocation, a weather information, a private Internet Protocol (IP) address, and other data stored in at least one of a volatile memory and a non-volatile memory.
The primary data generated from the TV's fingerprint, as described in the main system, can include descriptive metadata about the content, monitored events, geolocation, weather information, a private IP address, and other data stored in volatile or non-volatile memory. This comprehensive data is used to improve the accuracy and relevance of the targeted data.
8. The system of claim 1 : wherein the television automatically announces an automatic content identification service thereof to the pairing server.
The TV automatically announces its automatic content identification (ACR) service to a pairing server. This allows the mobile app to discover the TV and establish a connection for content identification and targeted data delivery. The mobile app uses this announced service to communicate with the TV and retrieve relevant information.
9. A method comprising: generating a fingerprint data using a television, wherein the fingerprint data is any one of an audio fingerprint data and a video fingerprint data; matching primary data generated from the fingerprint data with targeted data based on a relevancy factor using a relevancy-matching server; looking in a data repository for at least one of the targeted data, a reference to the targeted data and a metadata of the targeted data using the relevancy-matching server, wherein the primary data is any one of a content identification data and a content identification history; constraining an executable environment in a security sandbox of a mobile device; executing a sandboxed application in the executable environment of the mobile device; associating the mobile device with the television based on: executing a sandbox-reachable service on the television; automatically announcing, through the television, the sandbox-reachable service to a discovery module executing at least one of: on a pairing server external to the mobile device and as part of an extension of the security sandbox executing on the mobile device; identifying the sandbox-reachable service offered through the television based on receiving, through the discovery module, the automatic announcement to enable the sandboxed application of the mobile device reach the sandbox-reachable service by communicating an identification data of the television via the sandbox-reachable service when a shared computer network is determined to be commonly associated with the mobile device and the television; and establishing bidirectional communication between the mobile device and the television based on the sandboxed application reaching the sandbox-reachable service to render the primary data available across the sandbox-reachable service and the sandboxed application; processing an embedded object within the sandboxed application; and executing the embedded object through the sandboxed application to cause rendering of the targeted data therethrough.
A method for delivering targeted data involves: generating audio/video fingerprints on a TV, matching these fingerprints (content identification/history) with targeted data using a relevancy factor. It then searches a repository for the data (or reference/metadata). A mobile device runs an app in a secure sandbox. The phone associates with the TV by: running a service on the TV; advertising the TV service; the mobile app discovering that service (via pairing server or sandbox extension). When both are on the same network, the mobile app connects to the TV service. This creates a two-way channel, sharing TV content identification to then render targeted data within the sandboxed app.
10. The method of claim 9 , comprising: matching, through the relevancy-matching server, the targeted data with the primary data based on looking in the data repository for at least one of a matching item and a related item based on the relevancy factor comprising at least one of a category of the primary data, a behavioral history of a user, a category of the sandboxed application, and other information associated with the user.
The method above includes matching targeted data to TV content by considering factors like content category, user viewing history, app category, and other user information when searching for matching or related items. The relevancy factor utilizes this information to determine the appropriate targeted data based on finding items that are relevant to the identified TV content, and related to the user's interests and context within the sandboxed application.
11. The method of claim 9 , wherein the identification data of the television comprises at least one of a GUID, an alphanumeric name, a hardware address associated with the television, a public address associated with an automatic content identification service of the television, and a private address associated with the automatic content identification service of the television when the shared computer network is determined to be commonly associated with the mobile device and the television.
The method described previously uses TV identification data that includes a global unique identifier (GUID), alphanumeric name, hardware (MAC) address, a public address for the TV's automatic content identification (ACR) service, or a private address for the ACR service when both devices are on the same network. This allows the mobile device to uniquely identify and connect to the TV's services.
12. The method of claim 9 : wherein the embedded object comprises at least one of a script, an image, a player, an iframe, and other external media included in the sandboxed application.
The embedded object within the sandboxed application, used by the method, can be a script, image, media player, iframe, or any other external media included in the application. This object triggers the rendering of the targeted data to the user.
13. The method of claim 9 , further comprising: processing the fingerprint data from the television using a content identification server; and communicating the primary data from the fingerprint data to any of a number of devices with an access to at least one of: the identification data of the television and an identification data of an automatic content identification service of the television.
The method further processes the fingerprint data from the TV using a content identification server. The primary data from the fingerprint is communicated to devices with access to the TV's identification or the identification data of the automatic content identification service of the TV. This ensures that relevant information is available across various devices.
14. The method of claim 9 , comprising: causing, through the relevancy-matching server, the rendering of the targeted data to a user through the sandboxed application of the mobile device.
The method causes the relevancy-matching server to render targeted data to the user through the mobile device's sandboxed application. Once the server identifies the relevant data, it sends instructions or the data to the app for display.
15. The method of claim 9 , comprising: determining the mobile device to be associated with a user based on a unique identifier that is unlikely to change.
The method determines the association of the mobile device with a user based on a unique and persistent identifier. This ensures personalized recommendations based on the user's preferences and viewing history.
16. The method of claim 9 : wherein the primary data comprises at least one of a number of descriptive metadata associated with the content identification data, a monitored event, a geolocation, a weather information, a private IP address, and other data stored in at least one of a volatile memory and a non-volatile memory.
In the method, the primary data (TV content identification) includes descriptive metadata, monitored events, geolocation, weather information, private IP address, and other data stored in memory. This comprehensive data enhances the accuracy of the targeted data selection.
17. The method of claim 9 , comprising: the television automatically announcing an automatic content identification service thereof to the pairing server.
The method involves the TV automatically announcing its automatic content identification (ACR) service to a pairing server, facilitating the mobile app's discovery of the TV and the establishment of a connection for content identification and data delivery.
18. A method comprising: generating a fingerprint data using a television; matching primary data generated from the fingerprint data with targeted data, based on a relevancy factor, using a relevancy-matching server; locating in a storage at least one of the targeted data, a reference to the targeted data and a metadata of the targeted data using the relevancy-matching server, wherein the primary data is any one of a content identification data and a content identification history; constraining an executable environment in a security sandbox of a mobile device; executing a sandboxed application in the executable environment of the mobile device; associating the mobile device with the television based on: executing a sandbox-reachable service on the television; automatically announcing, through the television, the sandbox-reachable service to a discovery module executing at least one of: on a pairing server external to the mobile device and as part of an extension of the security sandbox executing on the mobile device; identifying the sandbox-reachable service offered through the television based on receiving, through the discovery module, the automatic announcement to enable the sandboxed application of the mobile device reach the sandbox-reachable service by communicating an identification data of the television via the sandbox-reachable service when a shared computer network is determined to be commonly associated with the mobile device and the television; and establishing bidirectional communication between the mobile device and the television based on the sandboxed application reaching the sandbox-reachable service to render the primary data available across the sandbox-reachable service and the sandboxed application; processing an embedded object within the sandboxed application; and executing the embedded object through the sandboxed application to cause rendering of the targeted data therethrough, wherein the identification data of the television comprises at least one of a GUID, an alphanumeric name, a hardware address associated with the television, a public address associated with an automatic content identification service of the television, and a private address associated with the automatic content identification service of the television when the shared computer network is determined to be commonly associated with the mobile device and the television.
A method delivers targeted data to a mobile device based on TV content: The TV generates content fingerprints. A server matches these fingerprints with targeted data based on relevancy. The server searches for the data. A mobile app runs sandboxed, and associates with the TV by: executing a TV-side service; advertising that service to a discovery module (pairing server/sandbox extension). With both on same network, the app connects to the TV service, creating two-way channel, sharing content identification, rendering targeted data. The TV identification data uses GUID, alphanumeric name, hardware (MAC) address, public/private address (ACR service).
19. The method of claim 18 , comprising: matching, through the relevancy-matching server, the targeted data with the primary data based on locating in the storage at least one of a matching item and a related item based on the relevancy factor comprising at least one of a category of the primary data, a behavioral history of a user, a category of the sandboxed application, and other information associated with the user.
The method matches targeted data to TV content by considering content category, user viewing history, app category, and other user information. The relevancy factor helps determine the appropriate targeted data by finding relevant items.
20. The method of claim 18 : wherein the embedded object comprises at least one of a script, an image, a player, an iframe, and other external media included in the sandboxed application.
In this method, the embedded object is a script, image, media player, iframe, or other external media included in the application, triggering the rendering of targeted data.
21. The method of claim 18 , further comprising: processing the fingerprint data from the television using a content identification server; and communicating the primary data from the fingerprint data to any of a number of devices with access to at least one of: the identification data of the television and an identification data of the automatic content identification service of the television.
This method further processes the TV's fingerprint data via a content identification server. The primary data from the fingerprint is communicated to devices with access to the TV's identification or the ACR service identification.
22. The method of claim 18 , comprising: causing, through the relevancy-matching server, the rendering of the targeted data to a user through the sandboxed application of the mobile device.
In this method, the relevancy-matching server renders the targeted data to the user through the mobile device's sandboxed app, displaying relevant data.
23. The method of claim 18 , comprising: determining the mobile device to be associated with a user based on a unique identifier that is unlikely to change.
The method associates the mobile device with a user based on a unique and persistent identifier, ensuring personalized recommendations.
24. The method of claim 18 : wherein the primary data comprises at least one of a number of descriptive metadata associated with the content identification data, a monitored event, a geolocation, a weather information, a private IP address, and other data stored in at least one of a volatile memory and a non-volatile memory.
This method's primary data (TV content ID) includes descriptive metadata, monitored events, geolocation, weather, private IP, and memory data, enhancing the data selection accuracy.
25. The method of claim 18 , comprising: the television automatically announcing the automatic content identification service to the pairing server.
In this method, the TV automatically announces the ACR service to the pairing server, aiding the app's TV discovery and connection establishment.
26. A system, comprising: a television to generate a fingerprint data, the fingerprint data being any one of an audio fingerprint data and a video fingerprint data; a relevancy-matching server to: match primary data generated using the fingerprint data with targeted data based on a relevancy factor comprising at least one of a category of the primary data, a behavioral history of a user, a category of a sandboxed application, and other information associated with the user in accordance with searching a storage for at least one of a matching item and a related item based on the relevancy factor, wherein the primary data is any one of a content identification data and a content identification history, and search the storage for at least one of the targeted data, a reference to the targeted data and a metadata of the targeted data; and a mobile device associated with the television to: process an embedded object within the sandboxed application executing thereon, constrain an executable environment in a security sandbox, and execute the embedded object through the sandboxed application in the executable environment, the execution of the embedded object causing rendering of the targeted data therethrough, wherein the television executes a sandbox-reachable service thereon, and is configured to automatically announce the sandbox-reachable service to a discovery module executing at least one of: on a pairing server external to the mobile device and as part of an extension of the security sandbox executing on the mobile device, wherein the discovery module identifies the sandbox-reachable service offered through the television based on receiving the automatic announcement to enable the sandboxed application of the mobile device reach the sandbox-reachable service by communicating an identification data of the television via the sandbox-reachable service when a shared computer network is determined to be commonly associated with the mobile device and the television, wherein the sandboxed application reaching the sandbox-reachable service establishes bidirectional communication between the mobile device and the television, and, thereby, association between the mobile device and the television, wherein the primary data is available across the sandbox-reachable service and the sandboxed application based on the established bidirectional communication between the mobile device and the television, and wherein the identification data of the television comprises at least one of a GUID, an alphanumeric name, a hardware address associated with the television, a public address associated with an automatic content identification service of the television, and a private address associated with the automatic content identification service of the television when the shared computer network is determined to be commonly associated with the mobile device and the television.
A system for delivering targeted data to a mobile device based on TV content involves: a TV generating audio/video fingerprints; a server matching these fingerprints with targeted data using relevancy factors like content category, user history, app category, searching for matches/related items, and finding relevant data (or references/metadata); a mobile app running sandboxed, associating with the TV by: the TV running a service; advertising it; the app discovering it (pairing server/sandbox extension). Shared network access enables the app to connect, creating a two-way data channel. TV identification uses a GUID, name, hardware address, and public/private address.
27. The system of claim 26 : wherein the embedded object comprises at least one of a script, an image, a player, an iframe, and other external media included in the sandboxed application.
In the described system, the embedded object can be a script, image, media player, iframe, or any other external media within the sandboxed application, triggering the rendering of the targeted data.
28. The system of claim 26 , further comprising: a content identification server to: process the fingerprint data from the television, and communicate the primary data from the fingerprint data to any of a number of devices with access to at least one of: the identification data of the television and an identification data of the automatic content identification service of the television.
The system also includes a content identification server to process TV fingerprint data. It communicates the primary data to devices with access to the TV identification or ACR service identification.
29. The system of claim 26 : wherein the relevancy-matching server causes the rendering of the targeted data to the user through the sandboxed application of the mobile device.
The relevancy-matching server in the system renders the targeted data to the user through the sandboxed mobile app, providing relevant content.
30. The system of claim 26 : wherein the mobile device is determined to be associated with the user based on a unique identifier that is unlikely to change.
The system determines that the mobile device is associated with a specific user through a persistent unique identifier, enabling the provision of personalized data.
[0-5s] Are you tired of seeing ads that have nothing to do with you? [5-20s] The problem is that most ads are generic and miss the mark. They're annoying and a waste of time. You're seeing ads for things you'd NEVER buy! [20-50s] The SOLUTION: Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device! This patent uses data from your TV, securely, to show you ads you'll actually LIKE. It's privacy-focused and super relevant! [50-60s] Want targeted ads that make SENSE? Click the link to learn more about Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device! patentable.app
[0-3s - Hook 1] Are your ads ALWAYS irrelevant? [0-3s - Hook 2] What if your ads actually understood you? [0-3s - Hook 3] Stop wasting time on pointless ads! [3-15s] The problem? Most ads are generic and miss the mark. They're annoying and a waste of time. You're seeing ads for things you'd NEVER buy! [15-45s] The SOLUTION: Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device! This patent uses data from your TV, securely, to show you ads you'll actually LIKE. It's privacy-focused and super relevant! [45-60s] Want targeted ads that make SENSE? Click the link to learn more about Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device! patentable.app #targetedads #privacy #innovation
[0-5s - Hook 1] Revolutionizing ad targeting with Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device! [0-5s - Hook 2] The future of advertising is here, and it's RELEVANT! [5-20s] In today's digital world, we're bombarded with ads. But most are irrelevant and annoying. It's a broken system that wastes everyone's time and money. [20-60s] Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device changes this. It gathers data from your TV, securely, to show you ads that actually match your interests. Privacy is built-in! [60-80s] This means better engagement for advertisers and a much better experience for users. It's a win-win! The market opportunity is HUGE. We're talking about transforming the entire advertising industry. [80-90s] Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device is the future of targeted advertising. Learn more at patentable.app!
[0-2s - Visual Hook] Show relevant ads appearing on a phone screen [0-2s - Hook 1] Tired of irrelevant ads? [0-2s - Hook 2] Ads that actually get you? YES! [2-15s] The problem: Most ads are generic and miss the mark. They're annoying and a waste of time. [15-35s] Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device solves this! It uses data from your TV, securely, to show you ads you'll actually LIKE. [35-45s] Click the link in bio for full Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device details! #targetedads #privacy #innovation
Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device
System architecture diagram for Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device
Abstract visualization of Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device
Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device vs prior art
Social media card for Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device
Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.
April 27, 2016
December 26, 2017
Browse 5M+ US patents with plain-English claim translations and AI-generated analysis.